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Can humans and artificial intelligences share concepts and communicate? Making AI Intelligible shows that philosophical work on the metaphysics of meaning can help answer these questions. Herman Cappelen and Josh Dever use the externalist tradition in philosophy to create models of how AIs and humans can understand each other. In doing so, they illustrate ways in which that philosophical tradition can be improved. The questions addressed in the book are not only theoretically interesting, but the answers have pressing practical implications. Many important decisions about human life are now influenced by AI. In giving that power to AI, we presuppose that AIs can track features of the world that we care about (for example, creditworthiness, recidivism, cancer, and combatants). If AIs can share our concepts, that will go some way towards justifying this reliance on AI. This ground-breaking study offers insight into how to take some first steps towards achieving Interpretable AI.
This book investigates whether humans and artificial intelligence systems can share concepts and engage in meaningful communication. Herman Cappelen and Josh Dever, both established philosophers, utilize the externalist tradition in the philosophy of language to construct a framework for human-AI interaction. They argue that applying metaphysical theories of meaning provides a necessary foundation for understanding how AI systems track real-world features, thereby addressing the validity of relying on algorithmic decision-making in critical areas of human life.
What You Will Find
Scope Limits
Experts in the philosophy of technology view this work as a significant bridge between abstract semantic theory and the practical challenges of algorithmic accountability. Readers frequently note the academic density of the prose, which requires a foundational understanding of analytic philosophy to fully grasp the authors' arguments.
Page Count:
183
Publication Date:
2021-01-01
Publisher:
OUP Oxford
ISBN-10:
0192647563
ISBN-13:
9780192647566
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